Model Comparison

Jamba 1.5 Large vs Mistral Small 3.1 24B Base

Mistral Small 3.1 24B Base shows notably better performance in the majority of benchmarks. Mistral Small 3.1 24B Base is 23.3x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Jamba 1.5 Large outperforms in 1 benchmarks (MMLU), while Mistral Small 3.1 24B Base is better at 2 benchmarks (GPQA, MMLU-Pro).

Mistral Small 3.1 24B Base shows notably better performance in the majority of benchmarks.

Thu May 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mistral Small 3.1 24B Base costs less

For input processing, Jamba 1.5 Large ($2.00/1M tokens) is 20.0x more expensive than Mistral Small 3.1 24B Base ($0.10/1M tokens).

For output processing, Jamba 1.5 Large ($8.00/1M tokens) is 26.7x more expensive than Mistral Small 3.1 24B Base ($0.30/1M tokens).

In conclusion, Jamba 1.5 Large is more expensive than Mistral Small 3.1 24B Base.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers

Thu May 14 2026 • llm-stats.com

Jamba 1.5 Large

Input tokens$2.00

Output tokens$8.00

Best providerAWS Bedrock

Mistral Small 3.1 24B Base

Input tokens$0.10

Output tokens$0.30

Best providerMistral

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

374.0B diff

Jamba 1.5 Large has 374.0B more parameters than Mistral Small 3.1 24B Base, making it 1558.3% larger.

Jamba 1.5 Large

398.0Bparameters

Mistral Small 3.1 24B Base

24.0Bparameters

398.0B

Jamba 1.5 Large

24.0B

Mistral Small 3.1 24B Base

Context Window

Maximum input and output token capacity

Jamba 1.5 Large accepts 256,000 input tokens compared to Mistral Small 3.1 24B Base's 128,000 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while Mistral Small 3.1 24B Base is limited to 128,000 tokens.

Jamba 1.5 Large

Input256,000 tokens

Output256,000 tokens

Mistral Small 3.1 24B Base

Input128,000 tokens

Output128,000 tokens

Thu May 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3.1 24B Base supports multimodal inputs, whereas Jamba 1.5 Large does not.

Mistral Small 3.1 24B Base can handle both text and other forms of data like images, making it suitable for multimodal applications.

Jamba 1.5 Large

Text

Images

Audio

Video

Mistral Small 3.1 24B Base

Text

Images

Audio

Video

License

Usage and distribution terms

Jamba 1.5 Large is licensed under Jamba Open Model License, while Mistral Small 3.1 24B Base uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Jamba 1.5 Large

Jamba Open Model License

Open weights

Mistral Small 3.1 24B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Large was released on 2024-08-22, while Mistral Small 3.1 24B Base was released on 2025-03-17.

Mistral Small 3.1 24B Base is 7 months newer than Jamba 1.5 Large.

Jamba 1.5 Large

Aug 22, 2024

1.7 years ago

Mistral Small 3.1 24B Base

Mar 17, 2025

1.2 years ago

6mo newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Mistral Small 3.1 24B Base's cutoff date is not specified.

We can confirm Jamba 1.5 Large's training data extends to 2024-03-05, but cannot make a direct comparison without Mistral Small 3.1 24B Base's cutoff date.

Jamba 1.5 Large

Mar 2024

Mistral Small 3.1 24B Base

—

Provider Availability

Jamba 1.5 Large is available from Bedrock, Google. Mistral Small 3.1 24B Base is available from Mistral AI.

Jamba 1.5 Large

AWS Bedrock

Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M

Google

Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M

Mistral Small 3.1 24B Base

Mistral

Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Jamba 1.5 Large

View details

AI21 Labs

Larger context window (256,000 tokens)

Higher MMLU score (81.2% vs 81.0%)

Mistral Small 3.1 24B Base

View details

Mistral AI

Supports multimodal inputs

Less expensive input tokens

Less expensive output tokens

Higher GPQA score (37.5% vs 36.9%)

Higher MMLU-Pro score (56.0% vs 53.5%)

Detailed Comparison

AI Model Comparison Table
Feature	Jamba 1.5 Large	Mistral Small 3.1 24B Base

FAQ

Common questions about Jamba 1.5 Large vs Mistral Small 3.1 24B Base.

Which is better, Jamba 1.5 Large or Mistral Small 3.1 24B Base?

Mistral Small 3.1 24B Base shows notably better performance in the majority of benchmarks. Jamba 1.5 Large is made by AI21 Labs and Mistral Small 3.1 24B Base is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Jamba 1.5 Large compare to Mistral Small 3.1 24B Base in benchmarks?

Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%. Mistral Small 3.1 24B Base scores MMLU: 81.0%, TriviaQA: 80.5%, MMMU: 59.3%, MMLU-Pro: 56.0%, GPQA: 37.5%.

Is Jamba 1.5 Large cheaper than Mistral Small 3.1 24B Base?

Mistral Small 3.1 24B Base is 20.0x cheaper for input tokens. Jamba 1.5 Large costs $2.00/M input and $8.00/M output via bedrock. Mistral Small 3.1 24B Base costs $0.10/M input and $0.30/M output via mistral.

What are the context window sizes for Jamba 1.5 Large and Mistral Small 3.1 24B Base?

Jamba 1.5 Large supports 256K tokens and Mistral Small 3.1 24B Base supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Jamba 1.5 Large and Mistral Small 3.1 24B Base?

Key differences include context window (256K vs 128K), input pricing ($2.00 vs $0.10/M), multimodal support (no vs yes), licensing (Jamba Open Model License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Jamba 1.5 Large and Mistral Small 3.1 24B Base?

Jamba 1.5 Large is developed by AI21 Labs and Mistral Small 3.1 24B Base is developed by Mistral AI.